Technology decisions that survive reality
This platform focuses on real-world system design — the kind shaped by scale, failures, regulation, budget, teams, and shifting business goals. It is built for engineers, architects, and CTOs who design systems not for diagrams alone, but for production, resilience, governance, and longevity — including the newest tier of the stack: Generative AI, agentic tooling, and accelerated compute.
— Viswa
Twelve capability areas, one decision system
Tap a category to filter, or click a layer in the diagram above.
Architecture Patterns
Layered, modular monoliths, microservices, event-driven, CQRS, data mesh.
ExploreInfrastructure & Cloud
Kubernetes, serverless, hybrid cloud, scalability and deployment trade-offs.
ViewNVIDIA AI & HPE PCAI
Accelerated compute, NVIDIA AI Enterprise, NIM microservices, and HPE Private Cloud AI reference architecture.
ViewBusiness → Architecture
Translate growth, uptime, compliance, and cost goals into system drivers.
LearnLegacy Modernization
Strangler fig, coexistence, refactoring paths and migration risk control.
ModernizeAI & GenAI Architecture
Reference architectures for RAG, fine-tuning, LLM gateways, evaluation and responsible-AI guardrails.
DesignMCP & Agentic Systems
Model Context Protocol, tool-calling, multi-agent orchestration and enterprise agent governance.
ConnectConversational & Phone Tech
Chatbot platforms, voice/IVR, telephony integration and mobile app architecture patterns.
TalkGovernance & Security
COBIT, ISO, NIST, global regulations and security-by-design.
UnderstandIncident Response
Preparation, containment, recovery, and CTO leadership during crises.
PrepareESG & Ethical Systems
Sustainable architectures, responsible AI, privacy-by-design.
AlignCTO Decision Frameworks
Evaluation models, roadmaps, metrics, and transformation governance.
ExecuteReferenced frameworks & specifications
Five principles behind this framework
Decisions, not diagrams
Every pattern here exists to make a specific trade-off explicit — cost vs. resilience, speed vs. control.
Security & governance by default
Controls are designed in at the layer where risk originates, not bolted on before an audit.
AI is an architecture layer, not a feature
GenAI, agents, and accelerated infrastructure get the same rigor as data and application layers.
Portable across vendors
Patterns are described so they translate across NVIDIA, HPE, hyperscalers and on-prem estates alike.
Built to be inherited
Documentation a successor can pick up — because systems outlive the people who designed them.